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AI BriefWire / Briefing
Hugging Face released a new blog post about a job searcher tool developed during a hackathon. The tool leverages AI to improve job search efficiency and relevance. This development highlights practical applications of AI in career services.
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A Blog post by Build Small Hackathon on Hugging Face
Watch the short tour: drop a resume, watch the queries stream, read the per-job reasoning.
What you get back isn't a list of fifty roles. It's a small shortlist with defensible reasoning. You can read why the model thinks the second-ranked job beats the third.
The teacher is DeepSeek V4 Pro. Strong at structured reasoning, willing to follow a strict output schema, cheap enough to run once over a large corpus offline. It is used as a label generator, not as an inference-time dependency.
The student is Qwen3-8B. Small enough to fit on a single ZeroGPU slice once quantized to Q4_K_M, large enough to absorb the teacher's structured judgement.
Everything ships in four foreign-key-clean configs at build-small-hackathon/job-search-distill.
The Space runs llama-cpp-python with the pre-built CUDA wheel on a HuggingFace ZeroGPU Space. Two design choices that matter: